Reliable Data-Architect Dumps Questions Available as Web-Based Practice Test Engine [Q109-Q128]

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March 13, 2026

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Reliable Data-Architect Dumps Questions Available as Web-Based Practice Test Engine

Correct and Up-to-date Salesforce Data-Architect BrainDumps

Salesforce Data-Architect certification exam is designed to test the skills and knowledge required to design and implement data solutions on the Salesforce platform. Data-Architect exam covers various topics such as data modeling, data integration, data migration, data governance, and data security. Data-Architect exam is designed to test the candidate’s ability to design and implement scalable, robust, and efficient data solutions on the Salesforce platform.

NEW QUESTION 109
Universal Containers (UC) is facing data quality issues where Sales Reps are creating duplicate customer accounts, contacts, and leads. UC wants to fix this issue immediately by prompting users about a record that possibly exists in Salesforce. UC wants a report regarding duplicate records. What would be the recommended approach to help UC start immediately?

Create an after insert and update trigger on the account, contact and lead, and send an error if a duplicate is found using a custom matching criteria.

Create a duplicate rule for account, lead, and contact, use standard matching rules for these objects, and set the action to report and alert for both creates and edits.

Create a duplicate rule for account, lead, and contact, use standard matching rules for these objects, and set the action to block for both creates and edits.

Create a before insert and update trigger on account, contact, and lead, and send an error if a duplicate is found using a custom matching criteria.

Creating a duplicate rule for account, lead, and contact, using standard matching rules for these objects, and setting the action to report and alert for both creates and edits can help UC fix the issue immediately by prompting users about a record that possibly exists in Salesforce. This can also generate a report regarding duplicate records that can be used for further analysis and resolution

NEW QUESTION 110
A data architect is working with a large B2C retailer and needs to model the consumer account structure in Salesforce.
What standard feature should be selected in this scenario?

Individual Accounts

Account Contact

Contacts

Person Accounts

NEW QUESTION 111
Universal Containers (UC) is a business that works directly with individual consumers (B2C). They are moving from a current home-grown CRM system to Salesforce. UC has about one million consumer records. What should the architect recommend for optimal use of Salesforce functionality and also to avoid data loading issues?

Create a Custom Object Individual Consumer c to load all individual consumers.

Load all individual consumers as Account records and avoid using the Contact object.

Load one Account record and one Contact record for each individual consumer.

Create one Account and load individual consumers as Contacts linked to that one Account.

According to the exam guide, one of the objectives is to “describe best practices for implementing a single-org strategy in a B2C scenario”1. This implies that option D is the best practice for loading individual consumers as contacts in Salesforce. This approach avoids creating unnecessary accounts and reduces data duplication. Option C is not correct because it creates one account per contact, which increases data volume and complexity. Options A and B are not correct because they do not leverage the standard contact object, which provides native functionality and integration with other Salesforce features.

NEW QUESTION 112
What 2 data management policies does the data classification feature allow customers to classify in salesforce? Choose 2 answers:

Reference data policy.

Data sensitivity policy.

Data governance policy.

Compliance categorization policy.

NEW QUESTION 113
UC is having issues using Informatica Cloud Louder to export +10MOrder records. Each Order record has 10 Order Line Items. What two steps can you take to help correct this? Choose two answers.

Export in multiple batches

Use PK Chunking

Limit Batch to 10K records

Export Bulk API in parallel mode

NEW QUESTION 114
NTO has decided that it is going to build a channel sales portal with the following requirements:
1.External resellers are able to authenticate to the portal with a login.
2.Lead data, opportunity data and order data are available to authenticated users.
3.Authenticated users many need to run reports and dashboards.
4.There is no need for more than 10 custom objects or additional file storage.
Which community cloud license type should a data architect recommend to meet the portal requirements?

Customer community.

Lightning external apps starter.

Customer community plus.

Partner community.

Partner community license type is the best option for building a channel sales portal, as it allows external resellers to access lead, opportunity, and order data, as well as run reports and dashboards. Customer community and customer community plus license types are more suitable for customer service portals, while lightning external apps starter license type does not support reports and dashboards

NEW QUESTION 115
Northern Trail Outfitters is concerned because some of its data is sensitive and needs to be identified for access.
What should be used to provide ways to filter and identify the sensitive data?

Define data grouping metadata.

Implement field-level security.

Custom checkbox denoting sensitive data.

Define data classification metadata.

NEW QUESTION 116
Universal Containers (UC) owns several Salesforce orgs across a variety of business units. UC management has declared that it needs the ability to report on Accounts and Opportunities from each org in one place. Once the data is brought together into a global view, management would like to use advanced Al-driven analytics on the dataset.
Which tool should a data architect recommend to accomplish this reporting requirement?

Run standard reports and dashboards.

Install a third-party AppExchange tool for multi-org reporting.

Use Einstein Analytics for multi-org.

Write a Python script to aggregate and visualize the data.

According to this article, Einstein Analytics for multi-org can help UC to report on accounts and opportunities from each org in one place. It can also provide advanced AI-driven analytics on the dataset using Einstein Discovery.

NEW QUESTION 117
Universal Containers (UC) is launching an RFP to acquire a new accounting product available on AppExchange. UC is expecting to issue 5 million invoices per year, with each invoice containing an average of 10 line items. What should UC’s Data Architect recommend to ensure scalability?

Ensure invoice line items simply reference existing Opportunity line items.

Ensure the account product vendor includes Wave Analytics in their offering.

Ensure the account product vendor provides a sound data archiving strategy.

Ensure the accounting product runs 100% natively on the Salesforce platform.

A sound data archiving strategy is essential for ensuring scalability and performance of any application that deals with large volumes of data. You need to consider factors like data retention policies, storage limits, backup and recovery options, and data access requirements when designing a data archiving solution2. You can use tools like OwnBackup, Odaseva, or ArchiveIt to archive your data from Salesforce to external systems

NEW QUESTION 118
NTO has implemented salesforce for its sales users. The opportunity management in salesforce is implemented as follows:
1. Sales users enter their opportunities in salesforce for forecasting and reporting purposes.
2. NTO has a product pricing system (PPS) that is used to update opportunity amount field on opportunities on a daily basis.
3. PPS is the trusted source within the NTO for opportunity amount.
4. NTO uses opportunity forecast for its sales planning and management.
Sales users have noticed that their updates to the opportunity amount field are overwritten when PPS updates their opportunities.
How should a data architect address this overriding issue?

Create a custom field for opportunity amount that sales users update separating the fields that PPS updates.

Create a custom field for opportunity amount that PPS updates separating the field that sales user updates.

Change opportunity amount field access to read only for sales users using field level security.

Change PPS integration to update only opportunity amount fields when values is NULL.

Changing the opportunity amount field access to read only for sales users using field level security is the best way to address the overriding issue. This way, the sales users can still view the opportunity amount field but cannot edit it, and PPS can update it as the trusted source

NEW QUESTION 119
Universal Containers (UC) has a very large and complex Salesforce org with hundreds of validation rules and triggers. The triggers are responsible for system updates and data manipulation as records are created or updates by users. A majority of the automation tool within UC” org were not designed to run during a data load. UC is importing 100,000 records into Salesforce across several objects over the weekend.
What should a data architect do to mitigate any unwanted results during the import?

Ensure validation rules, triggers and other automation tools are disabled.

Ensure duplication and matching rules and defined.

Import the data in smaller batches over a 24-hour period.

Bulkily the trigger to handle import leads.

Ensuring validation rules, triggers and other automation tools are disabled is the best way to mitigate any unwanted results during the import, as it prevents any errors or conflicts that may occur due to the existing logic. Ensuring duplication and matching rules are defined may not be sufficient or relevant for preventing unwanted results. Importing the data in smaller batches over a 24-hour period may not be necessary or efficient. Bulkifying the trigger to handle import leads may not be possible or desirable if the triggers were not designed to run during a data load.

NEW QUESTION 120
Universal Containers (UC) wants to ensure their data on 100,000 Accounts pertaining mostly to US-based companies is enriched and cleansed on an ongoing basis. UC is looking for a solution that allows easy monitoring of key data quality metrics. What should be the recommended solution to meet this requirement?

Use a declarative approach by installing and configuring Data.com Clean to monitor Account data quality.

Implement Batch Apex that calls out a third-party data quality API in order to monitor Account data quality.

Use declarative approach by installing and configuring Data.com Prospector to monitor Account data quality.

Implement an Apex Trigger on Account that queries a third-party data quality API to monitor Account data quality.

NEW QUESTION 121
US is implementing salesforce and will be using salesforce to track customer complaints, provide white papers on products and provide subscription (Fee) – based support.
Which license type will US users need to fulfil US’s requirements?

Sales cloud license

Lightning platform starter license.

Service cloud license.

Salesforce license.

NEW QUESTION 122
Universal Containers is looking to use Salesforce to manage their sales organization. They will be migrating legacy account data from two aging systems into Salesforce. Which two design considerations should an architect take to minimize data duplication? Choose 2 answers

Use a workflow to check and prevent duplicates.

Clean data before importing to Salesforce.

Use Salesforce matching and duplicate rules.

Import the data concurrently.

Cleaning data before importing to Salesforce and using Salesforce matching and duplicate rules are two design considerations that an architect should take to minimize data duplication when migrating legacy account data from two aging systems into Salesforce. Cleaning data before importing involves removing or correcting any inaccurate, incomplete, or inconsistent data from the source systems, as well as identifying and resolving any potential duplicates. This ensures that only high-quality and unique data is imported to Salesforce. Using Salesforce matching and duplicate rules allows the architect to define how Salesforce identifies duplicate records during import and how users can handle them. This prevents or reduces the creation of duplicate records in Salesforce and improves data quality. The other options are not effective or recommended for minimizing data duplication.

NEW QUESTION 123
Northern Trail Outfitters <NTO> is streaming IoT data from connected devices to a cloud database. Every 24 hours. 100,000 records are generated.
NIO employees will need to see these lol records within Salesforce and generate weekly reports on it.
Developers may also need to write programmatic logic to aggregate the records and incorporate them into workflows.
Which data pattern will allow a data architect to satisfy these requirements, while also keeping limits in mind?

Bidirectional integration

Unidirectional integration

Virtualization

Persistence

Persistence is the data pattern that will allow a data architect to satisfy the requirements, while also keeping limits in mind. Persistence means storing data from external sources in Salesforce objects, either standard or custom. This allows you to access the data within Salesforce and use it for reporting, analytics, workflows, and other features. Persistence also helps you avoid hitting API limits or performance issues when accessing large volumes of data from external systems. You can use various tools such as Data Loader, Bulk API, or Platform Events to persist IoT data from connected devices to a cloud database in Salesforce.

NEW QUESTION 124
Developers at Universal Containers need to build a report for the business which displays Accounts opened in the past year grouped by industry. This report will also include information from contacts, opportunities, and orders. There are several million Accounts in the system. Which two options should be recommended to make this report perform well and satisfy the business need?

Use triggers to populate denormalized related fields on the Account.

Use an indexed data field with bounded data filters.

Use Formula fields to surface information I related entities on the report.

Use unbounded date ranges to filter the report.

Using an indexed data field with bounded data filters can improve the report performance by making the query more selective and reducing the number of records to scan. Using formula fields to surface information from related entities on the report can also enhance the report performance by avoiding joins and complex calculations

NEW QUESTION 125
To address different compliance requirements, such as general data protection regulation (GDPR), personally identifiable information (PII), of health insurance Portability and Accountability Act (HIPPA) and others, a SF customer decided to categorize each data element in SF with the following:
Data owner
Security Level, such as confidential
Compliance types such as GDPR, PII, HIPPA
A compliance audit would require SF admins to generate reports to manage compliance.
What should a data architect recommend to address this requirement?

Use metadata API, to extract field attribute information and use the extract to classify and build reports

Use field metadata attributes for compliance categorization, data owner, and data sensitivity level.

Create a custom object and field to capture necessary compliance information and build custom reports.

Build reports for field information, then export the information to classify and report for Audits.

The data architect should recommend using field metadata attributes for compliance categorization, data owner, and data sensitivity level. This will allow the SF admins to generate reports to manage compliance based on the field metadata attributes that are defined for each data element in SF. Option A is incorrect because using metadata API to extract field attribute information and use the extract to classify and build reports will require additional development effort and may not be up-to-date with the latest changes in SF.
Option C is incorrect because creating a custom object and field to capture necessary compliance information and build custom reports will require additional configuration effort and may not be consistent with the actual data elements in SF. Option D is incorrect because building reports for field information, then exporting the information to classify and report for audits will require additional manual effort and may not be accurate or timely.

NEW QUESTION 126
The architect is planning a large data migration for Universal Containers from their legacy CRM system to Salesforce. What three things should the architect consider to optimize performance of the data migration?
Choose 3 answers

Review the time zones of the User loading the data.

Remove custom indexes on the data being loaded.

Determine if the legacy system is still in use.

Defer sharing calculations of the Salesforce Org.

Deactivate approval processes and workflow rules.

Removing custom indexes on the data being loaded will prevent unnecessary index maintenance and improve the data load speed. Deferring sharing calculations of the Salesforce Org will avoid frequent sharing rule evaluations and reduce the load time. Deactivating approval processes and workflow rules will prevent triggering any automation logic that might slow down or fail the data load.

NEW QUESTION 127
UC is migrating individual customers (B2C) data from legacy systems to SF. There are millions of customers stored as accounts and contacts in legacy database.
Which object model should a data architect configure within SF?

Leverage person account object in Salesforce

Leverage custom person account object in SF

Leverage custom account and contact object in SF

Leverage standard account and contact object in SF

The best object model to configure within SF for migrating individual customers (B2C) data from legacy systems is to leverage person account object in Salesforce. Person accounts are a special type of accounts that store information about individual people by combining certain account and contact fields into a single record4. Person accounts are useful for B2C scenarios where there is no need to associate a company name with a contact. Person accounts also support standard Salesforce features and functionality, such as leads, campaigns, reports, dashboards, etc5. Leverage custom person account object in SF is not a good option because there is no such thing as a custom person account object. Leverage custom account and contact object in SF is not a good option because it would require creating and maintaining additional objects and fields that may not be necessary or compatible with standard Salesforce features. Leverage standard account and contact object in SF is not a good option because it would require filling in dummy values for the account name field, which is mandatory for standard accounts.

NEW QUESTION 128
Universal Containers is establishing a call center that will use Salesforce. UC receives 10 million calls and creates 100 million cases every month. Cases are linked to a custom call object using lookup relationship. UC would like to run reports and dashboard to better understand different case types being created on calls to better serve customers.
What solution should a data architect recommend to meet the business requirement?

Archive records to a data warehouse and run analytics on the data warehouse.

Leverage big objects to archive records and Einstein Analytics to run reports.

Leverage custom objects to store aggregate data and run analytics.

Leverage out-of-the-box reports and dashboard on case and interactive voice response (IVR) custom object.

According to this article, big objects can store and manage massive amounts of data on the Salesforce platform. This can help UC to archive records from other objects or bring massive datasets from outside systems into a big object. According to this article, Einstein Analytics can be used to create dashboards and lenses to analyze big object data and get insights from advanced AI-driven analytics.

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Salesforce Data-Architect certification exam consists of 60 multiple-choice questions and 5 non-scored questions. You will have 105 minutes to complete the exam, and you must achieve a score of 65% or higher to pass. Data-Architect exam covers a range of topics, including data modeling, data management, data governance, data security, and data quality.

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